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metanmai

libredesk-mcp

by metanmai

create_conversation

Create a new conversation in the support desk by providing subject, message, inbox, contact email, and name, with optional team or agent assignment.

Instructions

Create Conversation POST /api/v1/conversations Tags: Conversations

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
subjectYes(body) Conversation subject
contentYes(body) Initial message content (Accepts HTML as well)
inbox_idYes(body) Inbox ID for the conversation
team_idNo(body) Team ID to be assigned when conversation is created
agent_idNo(body) Agent ID to be assigned when conversation is created
contact_emailYes(body) Contact's email address
first_nameYes(body) Contact's first name
last_nameYes(body) Contact's last name
attachmentsNo(body) Array of attachment IDs
initiatorYes(body) Who initiated the conversation. 'contact' means first message is incoming from contact, 'agent' means first message is outgoing from agent
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are present, so the description must carry the full burden. It only states 'Create Conversation' and the HTTP method, with no disclosure of behavioral traits such as required permissions, side effects, or return value format. Critical details are missing.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness2/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is extremely terse (3 lines) and provides minimal information beyond the tool name and endpoint. While it is front-loaded, it is under-specified and does not earn its space by adding substantive value.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with 10 parameters and no output schema or annotations, the description is far from complete. It lacks details on return values, error handling, expected behavior, and integration context, leaving the agent with insufficient information.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, and each parameter has a reasonable description. The tool description does not add any additional semantic value beyond the schema, so a baseline score of 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The tool name 'create_conversation' and description 'Create Conversation' clearly indicate the action and resource. However, the description does not differentiate it from sibling tools like 'send_message' or 'update_conversation_status', making it clear but not distinctive enough for a 5.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No usage guidelines are provided. The description does not specify when to use this tool versus alternatives, nor does it mention prerequisites or context. The agent receives no guidance on appropriate scenarios.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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